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Learning to Solve Routing Problems via Distributionally Robust Optimization


Feb 15, 2022
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang


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Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models


Jan 26, 2022
Lu Dong, Zhi-Qiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling

* This paper is accepted by ICASSP2022 

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Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima


Nov 11, 2021
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou


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LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values


Oct 09, 2021
Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou


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Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations


Jun 17, 2021
Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

* 17 pages, 25 figures 

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Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport


Apr 17, 2021
Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang


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Provably Robust Metric Learning


Jun 12, 2020
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh


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Soft Gradient Boosting Machine


Jun 07, 2020
Ji Feng, Yi-Xuan Xu, Yuan Jiang, Zhi-Hua Zhou


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Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data


May 11, 2020
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang


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